This intermediate course provides a comprehensive overview of core machine learning algorithms used in data science and analytics. Designed for practitioners building ML skills, it covers algorithm types, model selection criteria, and performance considerations. Graduates will understand the mechanics, strengths, and limitations of key ML algorithms, enabling informed model selection for diverse analytical and predictive tasks.
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